signals, spectra and signal processing

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  • 8/13/2019 Signals, Spectra and Signal Processing

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    Syllabus SIGNALS, SPECTRA AND SIGNAL PROCESSING Page 2 of 3

    LYCEUM OF SUBIC BAY

    COLLEGE OF ENGINEERING

    Lot 73 Central Business District, Subic Bay Freeport Zone

    Telefax: (047) 252 - 3157

    Grading System

    Attendance/Seatwork 20%

    Quizzes/Homework 20%

    Major Exam 60%

    Schedule of Exams

    Prelim July 15-17

    Midterm August 19-21

    Prefinals September 18-20

    Finals October 16-18

    Project RequirementAM/FM/Gibbs Phenomenon simulatedin Matlab, Simulink and Multisim with

    documents

    ***Project/s if any shall be passed forinitial evaluation during the prefinalsexam week and will be graded andpassed for final evaluation a week

    before the final exams

    RECIPE FOR SUCCESS

    1. Take this course seriously, starting on the first day. That means scheduling study time everyday, startingtoday.2. Read the chapter before the lecture. Read carefully, do not skim.3. Read with a pen and notebook. Take notes while you read, and work out example problems.4. Attend every lecture.5. Dont attempt the homework without studying the chapter first. 6. Dont get isolated: Get in a study group. Go to the Help Room.

    7. Start your assignments EARLY. If you wait till the last day, and you get stuck, you wont have time to visita TA.8. Dont fall behind; youll never catch up. 9. Just reading the text, attending lecture, and doing the homework is not enough. You have to understandthe material. Test of understanding: If you can explain the material, in words, to someone else, withoutreferring to the text, then you understand. This course is not about memorizing; its about understanding.

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    Syllabus SIGNALS, SPECTRA AND SIGNAL PROCESSING Page 3 of 3

    LYCEUM OF SUBIC BAY

    COLLEGE OF ENGINEERING

    Lot 73 Central Business District, Subic Bay Freeport Zone

    Telefax: (047) 252 - 3157

    Laboratory Course Coverage

    WEEK TOPIC METHODOLOGY and STRATEGY EVALUATION TOOLS

    1 Introduction to Matlab Lecture,Hands-on Experiment Laboratory Report

    2 Experiment 1 Lecture,Hands-on Experiment Laboratory Report

    3 Experiment 2 Lecture,Hands-on Experiment Laboratory Report

    4 Experiment 3 Lecture,Hands-on Experiment Laboratory Report

    5 Experiment 4 Lecture,Hands-on Experiment Laboratory Report

    6 Experiment 5 Lecture,Hands-on Experiment Laboratory Report

    7 Experiment 6 Lecture,Hands-on Experiment Laboratory Report

    8 Experiment 7 Lecture,Hands-on Experiment Laboratory Report

    9 Experiment 8 Lecture,Hands-on Experiment Laboratory Report

    10 Experiment 9 Lecture,Hands-on Experiment Laboratory Report

    11 Experiment 10 Lecture,Hands-on Experiment Laboratory Report

    12 Experiment 11 Lecture,Hands-on Experiment Laboratory Report

    13 Experiment 12 Lecture,Hands-on Experiment Laboratory Report

    14 Project Consultation Instructor Evaluation15 Project Consultation Instructor Evaluation

    16 Project Consultation Instructor Evaluation

    17 Project Consultation Instructor Evaluation

    18 Project Defense Group Presentation and OralDefense

    Instructor and/or PanelEvaluation